CSAT templates for WhatsApp are submitted as Utility, but Meta may
reclassify them as Marketing based on content, which can significantly
increase messaging costs.
This PR introduces a Captain-powered CSAT template analyzer for
WhatsApp/Twilio WhatsApp that predicts utility fit, explains likely
risks, and suggests safer rewrites before submission. The flow is manual
(button-triggered), Captain-gated, and applies rewrites only on explicit
user action. It also updates UX copy to clearly set expectations: the
system submits as Utility, Meta makes the final categorization decision.
Fixes
https://linear.app/chatwoot/issue/CW-6424/ai-powered-whatsapp-template-classifier-for-csat-submissionshttps://github.com/user-attachments/assets/8fd1d6db-2f91-447c-9771-3de271b16fd9
* feat: Implement existing template linking for CSAT surveys
- Added functionality to link existing CSAT templates for WhatsApp channels.
- Introduced a new component for selecting existing templates.
- Updated the dashboard settings page to support template mode switching between creating new and using existing templates.
- Enhanced the CSAT template management service to handle linking existing templates and fetching available templates.
- Updated API routes to include linking and fetching available templates.
- Added tests for the new linking functionality and template availability checks.
* feat: Enhance CSAT template handling and validation across services and components
* feat: Refactor body variable extraction for CSAT templates and update related validations
* feat: Add linked_at field to CSAT template responses and update related handling
* feat: Add tests for ConversationDrop date formatting and CSAT template body variable handling
This PR add the backend changes for the feature [sending CSAT surveys
via WhatsApp message templates
](https://github.com/chatwoot/chatwoot/pull/12787)
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Co-authored-by: Vinay Keerthi <11478411+stonecharioteer@users.noreply.github.com>
